Job Description

Machine Learning Engineer - AI Team

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Brisbane CBD | Hybrid (2-3 days in office)

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Salary: $100K-$170K + Super

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Certus Recruitment Group is partnering with an innovative organisation in Brisbane to hire a Machine Learning Engineer to join their growing AI team.

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You'll work across NLP, computer vision, generative AI, and applied ML - building real-world solutions that sit at the intersection of data, design, and user experience.

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If you enjoy shaping ideas from prototype to production and collaborating with cross‐functional teams, this role offers genuine impact and technical breadth.

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Responsibilities

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- Develop and fine-tune ML models across NLP, computer vision, and generative AI.
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- Adapt and apply foundation models (OpenAI, Anthropic, Cohere) for targeted use cases.
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- Build and maintain data pipelines, experiment tracking, and model deployment workflows.
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- Integrate ML capabilities into applications via REST APIs, collaborating closely with software developers.
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- Work within major cloud platforms (AWS, Azure, GCP) and ML toolchains (PyTorch, TensorFlow, Hugging Face, MLflow, LangChain).
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- Operate in an agile, cross‐functional team and contribute to broader AI/ML innovation initiatives.
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Requirements

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Core Technical Skills

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- 3+ years of ML engineering or applied machine learning experience.
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- Strong Python capability with ML frameworks (scikit-learn, PyTorch, TensorFlow).
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- Experience integrating ML models into production applications and workflows.
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- Knowledge of vector search and embedding technologies (FAISS, Pinecone, Weaviate).
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- Experience deploying APIs using FastAPI or Flask.
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- Comfortable working with structured and unstructured data (text,



images, spatial).
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- Hands‐on experience with AWS, Azure, or GCP.
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Development & Collaboration

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- Ability to build ML pipelines from prototype through to production.
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- Experience with MLflow, Git, Weights & Biases or similar tools for experiment tracking and versioning.
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- Robust communication skills with both technical and non‐technical audiences.
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- Collaborative and proactive approach to problem‐solving.
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Mindset & Domain Interest

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- Research‐minded and motivated to apply AI in meaningful, real‐world contexts.
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- Interest in the built environment, design technology, or complex civic systems is valued.
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- Background in architecture, engineering, or design technology is a bonus but not essential.
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Preferred (Not Required)

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- Experience with LLM orchestration (LangChain, Haystack), RAG, prompt tuning or hybrid search.
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- MLOps workflows (Airflow, Argo), model governance, and ML lifecycle optimisation.
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- Understanding of AI ethics, data privacy, and explainability.
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- Experience building internal AI tools/interfaces for non‐technical teams.
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Benefits

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- Hybrid working model with flexibility (typically 2-3 days in office).
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- Modern Brisbane CBD office with an engaging, collaborative team environment.
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- Opportunity to work on cutting‐edge AI initiatives across NLP, vision, and generative systems.
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- Strong mentorship, cross‐disciplinary collaboration, and exposure to diverse design and engineering challenges.
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- Career development within a team investing heavily in advanced ML capabilities.
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Only candidates currently based in Australia with full working rights will be considered.

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📌 Machine Learning Engineer - AI Team (Queensland)
🏢 Certus Recruitment Group
📍 Queensland